Clinical evidence is always evolving, but traditional clinical process map development and EHR build cycles often take months ...

Aided by AI and better EHRs, healthcare leaders are integrating clinical trial recruitment into care management and ...

Philadelphia-based Penn Medicine has developed a generative AI tool designed to help clinicians quickly identify and ...

Allina Health has determined that use of AI scribes reduces clinician burnout and helps clinicians maintain their full-time equivalent performance, which is generating an ROI that pays for the cost of ...

New real-time command center delivers visibility, faster issue resolution, and system performance insights for NextGen ...

Foundation AI models trained on EHRs may inadvertently retain and expose sensitive patient information, according to a study by researchers at the Massachusetts Institute of Technology in Cambridge.

An automated pipeline of frequency representation and machine learning models on raw electronic health record (EHR) audit logs can classify work settings based on clinical work activities. Objectives: ...

Although EHRs are not controlled by FDA-regulated entities like clinical investigators, the agency has issued recommendations on EHR data used in FDA-regulated clinical trials. The agency's guidance ...

EHR documentation of penicillin allergies often misclassifies intolerances as allergies, leading to potential adverse outcomes from inappropriate antibiotic prescribing. The study found only 50.9% ...

Hospitals are increasingly using data from electronic health records systems to support quality improvement efforts and to monitor patient safety, the Office of the National Coordinator for Health ...

Partners HealthCare now allows consumers to use its website to look up how the system performs on certain conditions using data from its electronic health record. The Boston-based system is the first ...